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Insurance fraud evaluation: a fuzzy expert system

10th IEEE International Conference on Fuzzy Systems. (Cat. No.01CH37297), 2002
All the studies dealing with the Italian insurance market show that fraud is an increasingly relevant problem in that sector. Insurance companies are trying to embed real "fraud units" into their activities, in order to identify suspicious cases and fraudulent patterns either in the insuring phase or in the settlement of claims.
Stefano Bordoni   +2 more
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Fuzzy expert system: An example in prostate cancer

Applied Mathematics and Computation, 2008
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Maria José de Paula Castanho   +3 more
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A VLSI PARALLEL ARCHITECTURE FOR FUZZY EXPERT SYSTEMS

International Journal of Pattern Recognition and Artificial Intelligence, 1995
In this paper we present a VLSI fuzzy processor whose main features are a scalable parallel architecture, and the computation of fuzzy inferences based on the α-level set theory, both of which are important in the field of intensive fuzzy computing, as in fuzzy expert systems.
ASCIA, Giuseppe, CATANIA, Vincenzo
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A collaborative fuzzy expert system for the Web

ACM SIGMIS Database: the DATABASE for Advances in Information Systems, 1998
A convergence of Internet and fuzzy logic technologies provides an opportunity for experts and end users to collaborate in developing, refining, and testing knowledge-based systems. Internet technology removes geographical and time-based restraints, and fuzzy rule bases are easier to understand and maintain.
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Fuzzy connectionist expert systems

Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94), 2002
Hybrid architectures for intelligent systems is a new field of artificial intelligence research concerned with the development of the next generation of intelligent systems. Current research interests in this field focus on integrating the computational paradigm of expert systems with new emergent paradigms such as neural networks, fuzzy logic, and ...
R.J. Machado, A. Freitas da Rocha
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Fuzzy situational inference for expert systems with fuzzy logic

Kybernetika, 1992
Summary: The fuzzy logic inference method for decision making in expert systems of special class called situational is proposed. Decision inference in such systems is based on fuzzy classification of fuzzy input situation by comparison of its representation which describes the present (current) state of a controlled system.
A. N. Melikhov   +2 more
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Knowledge modelling in fuzzy expert systems

1987
The majority of the current knowledge based systems/expert systems (KBS/ES), decision support systems (DSS), and management information systems (MIS) have followed the traditional pattern of dealing only with crisply defined, non-fuzzy ("hard") problem situations.
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Expert sysems and fuzzy systems

Proceedings of the IEEE, 1987
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Fuzzy Logic and Expert Systems

1995
The combination of fuzzy logic and expert systems is a fundamental technique flowing directly from the nature of fuzzy logic. Fuzzy expert systems are currently the most popular use of fuzzy logic with many applications now operational in a diverse range of subjects.
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Fuzzy expert systems

Engineering Applications of Artificial Intelligence, 1993
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